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Embedded Software Engineer - Performance Optimization

Optimize autonomous vehicle software for embedded hardware to improve runtime efficiency and safety
Mountain View, California, United States
Senior
$199,295 – 264,500 USD / year
4 hours agoBe an early applicant
Applied Intuition

Applied Intuition

Specializes in simulation software and infrastructure tools for autonomous vehicle development and testing.

79 Similar Jobs at Applied Intuition

Embedded Software Engineer - Performance Optimization

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo.

We are looking for a Software Engineer with deep experience in optimizing the application-layer software for embedded systems. In this role, you will work across multiple components of an autonomous driving software stack deployed on embedded compute platforms. You will be responsible for fitting a complex software stack into tight compute budgets while maintaining algorithmic performance, analyzing runtime behavior, and ensuring efficient concurrent execution of multiple applications.

At Applied Intuition, you will:

  • Analyze runtime performance of the application layer and identify potential resource contentions
  • Optimize compute usage to fit within embedded platform constraints without sacrificing algorithm accuracy or latency
  • Profile and tune performance on embedded targets under real-world operating conditions
  • Collaborate closely with ML runtime optimization engineers to ensure smooth model inference execution within the stack
  • Proactively design for contention avoidance and thread safety through code reviews and software architecture reviews; propose single threaded lock-free approaches where appropriate
  • Deploy and validate production code on QNX, Linux-based embedded, or similar RTOS platforms
  • Contribute to improving system-wide runtime, latency, and performance monitoring tools

We're looking for someone who has:

  • Bachelors or Masters in Electrical Engineering or Computer Science or a related field
  • 5+ years of experience in software development
  • Strong C++ development skills with a focus on runtime performance
  • Experience profiling CPU, GPU, and memory usage performance on constrained compute
  • Proven ability to debug complex runtime issues and resolve onboard resource contention

Nice to have:

  • Exposure to ML models and runtime frameworks (PyTorch, ONNX, TensorRT)
  • Experience with memory-constrained deployments and concurrent scheduling
  • Prior experience with autonomous driving software stacks
  • Scripting experience for performance profiling and automation

Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you'll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $199,295-$264,500 USD annually.

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law.

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Embedded Software Engineer - Performance Optimization
Mountain View, California, United States
$199,295 – 264,500 USD / year
Software
About Applied Intuition
Specializes in simulation software and infrastructure tools for autonomous vehicle development and testing.